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We are delighted to again be adding to our Bioinformatics team. We are recruiting for a Bioinformatician with an understanding of biological data related to Oncology and experience in statistics to take a lead in projects that involve PCR primer/probe design, DNA sequence analysis, and NGS and comparative genomics supporting development of assays for detecting Infectious Diseases and Cancer Genomics.   You will work alongside our fantastic Bioinformatics team to optimise and automate data extraction and integration, to improve peptide prediction. You’ll also be designing user friendly interfaces for the Nuritas biological and commercial department, to facilitate the full integration of technology.   Responsibilities to include: Develop bioinformatics tools and pipelines for use by other scientists in R&D. Analyze massively parallel sequencing (NGS) genomic data Apply statistical data analysis to support assay development experiments and guide experimental approaches within Oncoloy Mentors other scientists in the group through technical assistance, goal suggestion, and growth opportunity suggestion. Propose and implement quality control and data quality monitoring procedures Must have strong communication skills and ability to collaborate effectively with biologists, bioinformatics scientists, software developers and IT staff. Able to work independently on complex projects, anticipate and overcome challenges, negotiate requirements and time lines to deliver results. Present at internal & external meetings. Train and update colleagues across the business functions, in many different roles (lab scientists, computer scientists, non-scientists) on technologies being developed   Qualifications & Experience MSc or PhD in Bioinformatics or computer science At least 2 years’ experience working in Industry working with biological software and algorithm development or equivalent combination of education, training, and experience that provides the individual with the required knowledge, skills, and abilities.   Required Technical Skills Experience of working on programmes involve PCR primer/probe design, DNA sequence analysis, and NGS and comparative genomics supporting development of assays for detecting Infectious Diseases and Cancer Genomics Strong Programming and coding skills, proficient in Python General web development skills Experience with Linux and Windows environments Statistics and R programming An understanding of standard bioinformatics tools (protein databases, alignments…)   Desirable skills and Competencies Ability to work on big projects as part of a team Demonstrated effective time management, planning and organisational skills with the ability to successfully handle multiple tasks, projects and priorities in a fast-paced environment. Ability to manage multiple projects and overlapping deadlines A structured thinker with a natural ability to problem-solve Effective oral, written and interpersonal communication skills Excellent technical communication skills Ability to collaborate with experimental biologists, computer scientists and non-scientists

Nuritas™ is a Dublin-based biotech company revolutionising the discovery of novel and natural active ingredients with scientifically proven health benefits. Our disruptive approach to discovery provides access to the most health-benefiting components within foods by combining artificial intelligence and DNA analysis to data-mine billions of molecules. Role Overview: We are recruiting a highly motivated research scientist with a proven background in drug development in oncology that works well independently and in collaboration to developing multidisciplinary projects and perform complex lab and research-related duties. We are looking for someone who is a proactive thinker and action orientated scientist and someone who has passion and drive in this area of science.  Responsibilities General molecular biology techniques, cell cultures, and bioactivity testing. Industry experience would be a distinct advantage. Project development and planning to ensure milestones and deliverables are defined, monitored and delivered on time. Developing and implementing molecular and cell based assays in support of bioactive peptide therapeutics across oncology indications. Set up co-culture killing cultures involving cytotoxic T cells and/or NK cells. Developing and troubleshooting various bio-assays.   Qualifications & Experience Candidates must have a PhD in Molecular Biology, Chemistry or related disciplines, At least 4-5 years of previous lab experience in an oncology setting is required. Experience in cell based killing assays is essential Ability to design and execute experiments independently. Excellent attention to detail and ability to develop and follow detailed instructions/Standard Operating Procedures. Experience with techniques such as Flow Cytometry, ELISA, Western Blotting and In-vitro cell culture of both cell lines and primary human cultures. Industry experience would be a distinct advantage. Ability to Interpret and analyse data.   Competencies Ability to work on big projects as part of a team. – should be able to demonstrate this in an interview. Strategic thinker – being proactive rather than just reactive Exceptional organisation skills and ability to Optimise working environment. Good communication skills, both written and verbal are required. Ability to communicate with experimental biologists, computer scientists and non-scientists. Project management skills Project design (Establishing goals, project timelines and priorities) Experience in working in tandem with bioinformatics and data science groups would be advantageous.

Nuritas™ is a Dublin-based biotech company revolutionizing the discovery of novel and natural active ingredients with scientifically proven health benefits. Our disruptive approach to discovery provides access to the most health-benefiting components within foods by combining artificial intelligence and DNA analysis to data-mine billions of molecules.   What the role will involve   This is a great opportunity join an exciting interdisciplinary team working on cutting edge therapeutic development from initial concept to full delivery.   In this role, you will join a project extracting structured information from large volumes of unstructured academic literature using state-of-the-art techniques in Natural Language Processing and storing this information using novel knowledge representation technologies. This is an exciting role that sits at the very beginning of our core predictive technology. It not only shapes the predictive models for our therapeutic peptides, but also contributes to the understanding of work in our laboratory, in-vitro and in-vivo experiments.   The successful graduate will join this project in a supportive research partnership with Queen’s University Belfast and can also choose to undertake a fully funded post graduate qualification in Business & Management as part of the employment package.   We need you to have   Master’s degree from an accredited program in Computer Science or PhD in computer science/Math/statistics or related fields 1+ years of professional, hands-on experience with NLP, information retrieval, or text analysis Legally permitted to work in the EU   We would like you to have   Experience with the state-of-the-art in Natural Language Processing methodologies (e.g. large-scale recurrent models or transformer architectures) Knowledge representation and information retrieval (e.g. knowledge graphs, ontologies, search engines) Knowledge and good hands-on experience of common machine learning frameworks (e.g. sklearn, Tensorflow, Keras, Pytorch) Exposure to software engineering techniques (i.e. experience with version control, best practices in software design) Ideally experience with biological or healthcare data or analysis of scientific research articles

Nuritas is an artificial intelligence biotechnology company revolutionising the discovery of novel, natural and scientifically proven active peptides that can manage and improve human health. One of the highlights of working at Nuritas is the tight feedback loop between the data team and the R&D team working in the wet lab. This role seeks to further tighten that feedback loop by making analyses created by the data team more accessible and interactive, as well as making the results created by the R&D team more interpretable and interconnected.     This role will be an interesting blend of one-off analyses of R&D experiments using your Data Scientist skillset and creating interactive visualisations based off these analyses in our Django-based webserver. You will also need to understand how to model the data in scalable databases so that not only are your visualisations more efficient, but our machine learning pipelines can be fed from the data structures you create. The ideal visualisations of our complex datasets will inspire new features for our machine learning models to make better predictions about all aspects of our business process, from manufacturing to the clinic to our bioactive peptides themselves.   Job Summary First and foremost, you will work closely with the lab scientists, analysing large data sets coming from proteomics, delivering insights and helping to make decisions using your data science skills. In addition to this, you will build scalable, interactive solutions to help scientists answer questions from the data. You will also work closely with machine learning experts to help design the next generations of our machine learning models using inspiration from your visualisations and/or unstructured machine learning methods.   Responsibilities and duties Performing analysis of complex big-data/'omics experiments e.g. proteomics, transcriptomics, or quality control to help R&D, manufacturing, and operations teams make decisions on Nuritas’ best disease treating/preventing active peptides Design and execution of interactive visualisations and dashboards for both technical and non-technical members of other departments Distil questions from the lab and operations to mathematical, programmatic, machine learning or data viz solutions and help identify opportunities to improve our processes Design of database schemas for efficient storage and access of features for visualisations and machine learning models Skills and Experience Master's Degree PhD in Computational Biology, Bioinformatics, Computer Science, Mathematics, Statistics, Physical Sciences, Life Sciences or related quantitative field (or equivalent industrial experience) Expertise in extracting, compiling and analysing complex datasets and providing insight and decisions to technical and non-technical collaborators Experience with biological data including any omics (any degree in a biological field is appreciated) Experience building web based interactive visualisations from complex data sets Experience with visualisation frameworks such as (ideally) python-based ones such as dash/plotly, bokeh, or altair; other languages such as D3.js or Rshiny; or software such as Tableau or Power BI Knowledge of web frameworks such as django, rails, or flask Familiarity with SQL and/or NoSQL database technologies, ideally experience in database design Familiarity with machine learning techniques an advantage